Prediction of the Clinical Outcomes in Patients with CRRT Using Body Composition Monitoring: A Machine Learning Approach to a Multicenter Cohort Study: PO0251

Prediction of the Clinical Outcomes in Patients with CRRT Using Body Composition Monitoring: A Machine Learning Approach to a Multicenter Cohort Study: PO0251

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Veröffentlicht in:Journal of the American Society of Nephrology 2021-10, Vol.32 (10S), p.129-130
Hauptverfasser: Yoo, Kyung Don, Noh, Junhyug, An, Jung Nam, Baek, Seon Ha, Ahn, Shin-Young, Rhee, Harin, Seong, Eun Young, Cho, Jang-Hee, Kim, Dong Ki, Kim, Sejoong, Lee, Jung Pyo
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container_end_page 130
container_issue 10S
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container_title Journal of the American Society of Nephrology
container_volume 32
creator Yoo, Kyung Don
Noh, Junhyug
An, Jung Nam
Baek, Seon Ha
Ahn, Shin-Young
Rhee, Harin
Seong, Eun Young
Cho, Jang-Hee
Kim, Dong Ki
Kim, Sejoong
Lee, Jung Pyo
description
doi_str_mv 10.1681/ASN.20213210S1129c
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title Prediction of the Clinical Outcomes in Patients with CRRT Using Body Composition Monitoring: A Machine Learning Approach to a Multicenter Cohort Study: PO0251
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